SUCCESSFUL MANAGEMENT SYSTEM BY A METALWORKING MEXICAN COMPANY DURING COVID-19 SITUATION. ANALYSIS THROUGH A NEW INDEX (CASE STUDY).

The implications of the COVID-19 pandemic have jeopardized many corporations around the globe, especially those that were centered around what is considered to be a non-essential activity. The objective of this research is to discover what strategies the company in question applied successfully within its diverse areas, leading its system management to an overall positive outcome, despite having to adapt to 7 months of COVID-19. In order to achieve this, the company's data will be examined before the pandemic began to identify the processes within the main areas, where they could find their strengths and weaknesses. For the purpose of this investigation, the PDCA methodology was implemented to identify the different successful strategies related to the main activities at the company, followed by a validated questionnaire applied to main directors where the principal strategies previously identified have been evaluated. Considering all of this, a new index rate is proposed in this paper. By applying the organizational prevalence index, the sales result has a total prevalence of around 100.4%, so that sales remain the same. The prevalence for the stock has been observed to increase significantly, and in the case of personnel, there has been a minimal increase. Despite there being a noticeable decrease in the national context, there has been a decrease in the employment rate. This study was carried out with the goal of being a reference for resilience for companies where strategies are related to the results when applying the index. Because the study was conducted in only one company, the recommendation for the future is to replicate the study in a large number of companies to correlate data and verify that the index shows a more reliable relationship with company performance. Also, it is considered to apply this index in different company categories, but that will depend on confidentiality and data transparency in every organization.

Electrical Status Epilepticus in Sleep: Is this a Focal or Generalized Pattern?

Objectives: To evaluate the spatial distribution of the epileptiform activity in electrical status epilepticus in sleep (ESES) and to correlate data from electroencephalograms (EEGs) with clinical and neuroimaging variables. Methods: From 2008 to 2015, 162 reports (1.01%) out of 16,000 EEGs, from 23 patients, showed ESES. We selected one representative EEG per patient. Clinical data was collected retrospectively. Neuroimaging examinations were reviewed. The EEGs were classified as generalized ESES (ESESg) and focal ESES (ESESf) according to the distribution of epileptiform discharges. Results: From the 23 patients, 5 were classified as ESESg and 18 as ESESf. In ESESf, there was a prevalence of focal epileptic discharges in the centrotemporal regions. Abnormal neuroimaging occurred in 100% of the patients with ESESg and in 38.9% of the patients with ESESf (p=0.037). Other clinical data did not show significant differences between the groups. All patients with ESESg had structural etiology, while only 39% of patients with ESESf had structural etiology and the remaining 61% potentially genetic epilepsies of the rolandic spectrum. Conclusion: ESESg occurred predominantly in patients with structural lesions, while most patients with ESESf had normal neuroimaging scans and electrical dysfunction mainly in the rolandic region. Significance: ESESg seems to occur mostly in structural epilepsies. Distinctly, ESESf occurs in epileptic syndromes within the functional spectrum of rolandic epilepsy.

Neuropathology of Mowat–Wilson Syndrome

Mowat–Wilson syndrome (MWS) is a syndromic form of Hirschsprung disease that is characterized by variable degrees of intellectual disability, characteristic facial dysmorphism, and a diverse set of other congenital malformations due to haploinsufficiency of ZEB2. A variety of brain malformations have been described in neuroimaging studies of MWS patients, and the role of ZEB2 in the brain has been studied in a multitude of genetically engineered mouse models that are now available. However, a paucity of autopsy information limits our ability to correlate data from neuroimaging studies and animal models with actual MWS patient tissues. Here, we report the autopsy neuropathology of a 19-year-old male patient with MWS. Autopsy neuropathology findings correlated well with the reported MWS neuroimaging data and are in keeping with data from genetically engineered MWS mouse models. This autopsy enhances our understanding of ZEB2 function in human brain development and demonstrates the reliability of MWS murine models.

Skin Manifestations In Children With COVID-19: A Literature Review

OBJECTIVES: Perform a literature review to correlate data on dermatological manifestations in pediatric patients with coronavirus disease 2019 (COVID-19). METHODS: A systematic literature review was performed, selecting articles involving COVID-19 and dermatological manifestations in pediatric patients, in databases such as PubMed, The New England Journal of Medicine, The British Medical Journal and The Lancet. RESULTS: Studies indicate that the SARS-CoV-2 virus (severe acute respiratory syndrome coronavirus 2) can cause dermatological manifestations, like macules, papules, rash, hives, erythema and oral mucositis. Skin involvement by COVID-19 in children may be associated with multisystemic inflammatory syndrome, in which there is an abnormal immune response associated of cytokines and activation of macrophages, which can justify the changes in the skin. CONCLUSION: Cutaneous manifestations, although unspecific, are important for the identification of the disease in pediatric patients and better control of the spread of infection to the population.

Brazilian Government Procurements: an Approach to Find Fraud Traces in Companies Relationships

Data mining has been an area of high visibility in recent years and many researches have shown good efficiency in this area to find information in large databases. This paper presents an approach to find fraud traces applying data mining techniques to public databases of the Brazilian Federal Government bidings. The aim is to find evidence of fraud, such as stunts and cartels. The task of finding fraud evidences in large amount of data is complex for auditors since they have correlate data. The proposed approach was used to develop a prototype which has been used by auditors in the Ministry of Transparency and General Comptroller of the Union (CGU).

Visualizing Zika Virus Research Literature Through Bibliometric Mapping

This study outlines a significant relationship between a spurt of research activity in the field and the outbreak of the Zika disease, for the purpose of visualizing the phenomenon. By using bibliographic research, it is possible to correlate data with this disease. To identify the hotspots of research the data is evaluated using the following parameters: literature growth since 1975; most prolific authors and their contributions; top contributing institution, country, and journal; identify co-authorship clusters of the authors and institutions; and finally, to create and examine co-word maps of the keywords. It is also found that under-developed countries like Senegal and Zambia have contributed to Zika research along with the USA, France and Germany. Forty-five per cent of the contributions are concentrated in six journals.

Early Diagnosing and Treatment of Rheumatoid Arthritis, Benefits of Anti-Citrullinated Peptides Examination

Background: Anti-citrullinated peptides antibodies (ACPA) are specific for rheumatoid arthritis and have been implicated in disease pathogenesis. ACPA examination is a new component of ACR/EULAR 2010 classification criteria for rheumatoid arthritis. ACPA positivity predicts a more erosive disease course with severe joint damage and extra-articular manifestations. Objectives: To evaluate the benefits of ACPA examination in patients with early undifferentiated arthritis and patients with rheumatoid arthritis. Methods: We examined patients with arthritis and tested them for ACPA positivity. In every individual patient we evaluated if ACPA examination was necessary to establish the diagnosis of rheumatoid arthritis, or to change treatment, or if the diagnosis could have been established without ACPA examination (ACR/EULAR 2010 classification criteria was met without ACPA scoring). Results and Conclusions: We examined 833 patients with arthritis. There were 43 patients, or 62 % of a subgroup of 69 who were ACPA positive whose ACPA examination was not needed - ACR/EULAR criteria was met without ACPA scoring. This number represents 5.1 % of the total number examined. There were 15 patients, or 22 % of the subgroup and 1.8 % of the total whose diagnosis was revised to rheumatoid arthritis due to ACPA positivity - ACR/EULAR criteria was met solely with ACPA scoring. There were 11 patients (16 % and 1.3 %) whose medication was changed due to ACPA positivity. ACPA examination is useful in 3,1 % of all examined patients. When we correlate data on ACPA positive patients, 38 % of the patients profit from ACPA examinations. Considering the relatively low price of ACPA testing, this examination should not be excluded.

Coordinated Displays to Assist Cyber Defenders

Cyber network analysts must gather evidence from multiple sources and ultimately decide whether or not suspicious activity represents a threat to network security. Information relevant to this task is usually presented in an uncoordinated fashion, meaning analysts must manually correlate data across multiple databases. The current experiment examined whether analyst performance efficiency would be improved by coordinated displays, i.e., displays that automatically link relevant information across databases. We found that coordinated displays nearly doubled performance efficiency, in contrast to the standard uncoordinated displays, and coordinated displays resulted in a modest increase in threat detections. These results demonstrate that the benefits of coordinated displays are significant enough to recommend their inclusion in future cyber defense software.